Exploring the political pulse of a country using data science tools

This paper illustrates the application of data science techniques to analyze complex human communication in the political sphere, specifically using tweets from political party leaders as a proxy for political programs and ideas. It examines the temporal evolution of tweet content in reaction to specific events and employs sentiment analysis. Furthermore, a Fully-Connected Neural Network (FCNN) is trained to predict political affiliation and leaning with high precision, demonstrating the utility of data science in understanding political dynamics.